Isfahan University of Medical Sciences

Science Communicator Platform

Stay connected! Follow us on X network (Twitter):
Share this content! On (X network) By
The Improvement of Extraction Retinal Pigment Epithelium (Rpe) Layer in Optical Coherence Tomography (Oct) Images by Using Piecewise Dynamic Programming Method in Patients With Persistent Epithelial Defect (Ped) Publisher



Haghani A1 ; Kafieh R1 ; Akhlaghi M2
Authors
Show Affiliations
Authors Affiliations
  1. 1. Department of Bioelectric, School of Advanced Technologies in Medical Sciences, Isfahan University of Medical Sciences, Isfahan, Iran
  2. 2. Department of Ophthalmology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran

Source: Journal of Isfahan Medical School Published:2021


Abstract

Background: Age-related macular degeneration (AMD) is one of the disorders in the retina that causes central vision disorders. Optical coherence tomography (OCT) images are used to diagnose this disease, and given the changes in the disease caused by elevations in the retinal pigment epithelium (RPE) layer of the retina, the complication is diagnosed. Methods: In the proposed method, the starting point of the RPE layer was labeled by the user on a limited number of OCT slides to eliminate the possibility of mistaking other layers such as the retinal nerve fiber layer (RNFL). The graph-based algorithm was then applied to the image in low width parts; an algorithm was used to maintain the continuity of the parts to eventually estimate the location of the RPE layer. With a similar algorithm, the bruch layer was also located at each scan, and by estimating the distance of the two layers, PED elevations were identified. Findings: The proposed method was evaluated on three datasets with 35, 15, and 10 patients. Compared to the graph-based method in the first, second, and third datasets, respectively, the unsigned error in the RPE layer improved from 4.3392 to 2.7827, 3.3340 to 2.1623, and 6.4842 to 2.3924 pixels, and the bruch layer improved from 5.7576 to 4.8473, 4.3353 to 2.6023, and 6.67 to 2.5446 pixels, respectively. Conclusion: The proposed method is valid in PED images, and can be effective in diagnosing AMD. © 2021 Isfahan University of Medical Sciences(IUMS). All rights reserved.
Related Docs
View other Related Docs
1. 3D Curvelet-Based Segmentation & Quantification of Drusen in Optical Coherence Tomography Images, Journal of Electrical and Computer Engineering (2017)
2. Cyst Identification in Retinal Optical Coherence Tomography Images Using Hidden Markov Model, Scientific Reports (2023)
3. Analysis of a Novel Segmentation Algorithm for Optical Coherence Tomography Images Based on Pixels Intensity Correlations, IEEE Transactions on Instrumentation and Measurement (2021)
4. Fully-Automated Segmentation of Fluid Regions in Exudative Age-Related Macular Degeneration Subjects: Kernel Graph Cut in Neutrosophic Domain, PLoS ONE (2017)
5. Intra-Retinal Layer Segmentation of 3D Optical Coherence Tomography Using Coarse Grained Diffusion Map, Medical Image Analysis (2013)
6. Formation and Fusion of Projection Images From 11 Layers of Retina Using Statistical Indicators to Obtain an Image With Appropriate Contrast From the Retinal Depth, Journal of Isfahan Medical School (2013)
7. Mixture of Symmetric Stable Distributions for Macular Pathology Detection in Optical Coherence Tomography Scans, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS (2022)
8. Attention to Lesion: Lesion-Aware Convolutional Neural Network for Retinal Optical Coherence Tomography Image Classification, IEEE Transactions on Medical Imaging (2019)
Experts (# of related papers)
View all Related Experts
Hossein Rabbani (79)
Raheleh Kafieh (41)
Other Related Docs
9. Fully Automated Segmentation of Fluid/Cyst Regions in Optical Coherence Tomography Images With Diabetic Macular Edema Using Neutrosophic Sets and Graph Algorithms, IEEE Transactions on Biomedical Engineering (2018)
10. Macular Oct Classification Using a Multi-Scale Convolutional Neural Network Ensemble, IEEE Transactions on Medical Imaging (2018)
11. A Device-Independent, Shape Preserving Retinal Optical Coherence Tomography Image Alignment Method Applying Tv-Unet for Rpe Layer Detection, IEEE Transactions on Instrumentation and Measurement (2022)
12. Directional Analysis of Intensity Changes for Determining the Existence of Cyst in Optical Coherence Tomography Images, Scientific Reports (2022)
13. A Review on Texture-Based Methods for Anomaly Detection in Retinal Optical Coherence Tomography Images, Optik (2023)
14. Fully Automatic Segmentation of Fluorescein Leakage in Subjects With Diabetic Macular Edema, Investigative Ophthalmology and Visual Science (2015)
15. Isfahan Artificial Intelligence Event 2023: Macular Pathology Detection Competition, Journal of Medical Signals and Sensors (2025)
16. Automatic Classification of Macular Diseases From Oct Images Using Cnn Guided With Edge Convolutional Layer, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS (2022)
17. Intra-Retinal Layer Segmentation of Optical Coherence Tomography Using Diffusion Map, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (2013)
18. Comparison of Macular Octs in Right and Left Eyes of Normal People, Progress in Biomedical Optics and Imaging - Proceedings of SPIE (2014)
19. Evaluation of Asymmetricity of Retinal Nerve Fiber Layer and Total Retina in Right and Left Eyes of Normal Subjects Using Extracted Features From Optical Coherence Tomography, Journal of Isfahan Medical School (2013)
20. Livelayer: A Semi-Automatic Software Program for Segmentation of Layers and Diabetic Macular Edema in Optical Coherence Tomography Images, Scientific Reports (2021)
21. Retinal Optical Coherence Tomography Image Classification With Label Smoothing Generative Adversarial Network, Neurocomputing (2020)
22. Curvature Correction of Retinal Octs Using Graph-Based Geometry Detection, Physics in Medicine and Biology (2013)
23. Classification of Dry Age-Related Macular Degeneration and Diabetic Macular Oedema From Optical Coherence Tomography Images Using Dictionary Learning, IET Image Processing (2020)
24. Exact Localization of Breakpoints of Retinal Pigment Epithelium in Optical Coherence Tomography of Optic Nerve Head, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS (2017)
25. Automatic Diagnosis of Abnormal Macula in Retinal Optical Coherence Tomography Images Using Wavelet-Based Convolutional Neural Network Features and Random Forests Classifier, Journal of Biomedical Optics (2018)
26. Forming Projection Images From Each Layer of Retina Using Diffusion May Based Oct Segmentation, 2012 11th International Conference on Information Science, Signal Processing and their Applications, ISSPA 2012 (2012)
27. Retinal Oct Image Denoising Based on Adaptive Bessel K-Form Modeling, 2023 30th National and 8th International Iranian Conference on Biomedical Engineering, ICBME 2023 (2023)
28. Three-Dimensional Segmentation of Retinal Cysts From Spectral-Domain Optical Coherence Tomography Images by the Use of Three-Dimensional Curvelet Based K-Svd, Journal of Medical Signals and Sensors (2016)
29. Vessel-Based Registration of Fundus and Optical Coherence Tomography Projection Images of Retina Using a Quadratic Registration Model, IET Image Processing (2013)
30. Automatic Choroidal Segmentation in Optical Coherence Tomography Images Based on Curvelet Transform and Graph Theory, Journal of Medical Signals and Sensors (2023)
31. Hybrid Registration of Retinal Fluorescein Angiography and Optical Coherence Tomography Images of Patients With Diabetic Retinopathy, Biomedical Optics Express (2021)
32. Automatic Multifaceted Matlab Package for Analysis of Ocular Images (Ampao), SoftwareX (2019)
33. Registration of Fluorescein Angiography and Optical Coherence Tomography Images of Curved Retina Via Scanning Laser Ophthalmoscopy Photographs, Biomedical Optics Express (2020)
34. Multifocal Electroretinogram in Diabetic Macular Edema; Correlation With Visual Acuity and Optical Coherence Tomography, Journal of Ophthalmic and Vision Research (2015)
35. Local Comparison of Cup-To-Disc Ratio in Right and Left Eyes Via Optical Coherence Tomography B-Scans of Optic Nerve Head, Journal of Isfahan Medical School (2016)
36. Automatic Classification of Retinal Optical Coherence Tomography Images With Layer Guided Convolutional Neural Network, IEEE Signal Processing Letters (2019)
37. Wavelet Scattering Transform Application in Classification of Retinal Abnormalities Using Oct Images, Scientific Reports (2023)
38. Retinal Changes in Double-Antibody Seronegative Neuromyelitis Optica Spectrum Disorders, Neurology: Neuroimmunology and NeuroInflammation (2024)
39. Automatic Detection of Exudates and Optic Disk in Retinal Images Using Curvelet Transform, IET Image Processing (2012)
40. A Comprehensive Study of Retinal Vessel Classification Methods in Fundus Images, Journal of Medical Signals and Sensors (2017)
41. Forming Optimal Projection Images From Intra-Retinal Layers Using Curvelet-Based Image Fusion Method, Journal of Medical Signals and Sensors (2020)
42. Red-Lesion Extraction in Retinal Fundus Images by Directional Intensity Changes’ Analysis, Scientific Reports (2021)
43. Thickness Mapping of Eleven Retinal Layers Segmented Using the Diffusion Maps Method in Normal Eyes, Journal of Ophthalmology (2015)
44. X-Let's Atom Combinations for Modeling and Denoising of Oct Images by Modified Morphological Component Analysis, IEEE Transactions on Medical Imaging (2024)
45. Morphological Component Analysis for Automatic Segmentation of Six Lower Retina Layers in Optical Coherence Tomography Images, Journal of Isfahan Medical School (2016)
46. Automatic Choroid Vascularity Index Calculation in Optical Coherence Tomography Images With Low-Contrast Sclerochoroidal Junction Using Deep Learning, Photonics (2023)
47. Detection of Retinal Abnormalities in Oct Images Using Wavelet Scattering Network, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS (2022)
48. A Matlab Package for Automatic Extraction of Flow Index in Oct-A Images by Intelligent Vessel Manipulation, SoftwareX (2020)
49. Deep Learning and Classic Machine Learning Models in the Automatic Diagnosis of Multiple Sclerosis Using Retinal Vessels, Multimedia Tools and Applications (2024)
50. Analysis of Foveal Avascular Zone for Grading of Diabetic Retinopathy Severity Based on Curvelet Transform, Graefe's Archive for Clinical and Experimental Ophthalmology (2012)